See the file in this folder called word.md
Related to the python coding:
the first goal is to run the semantic_similarity.ipynb jupyter notebook
- For this, we need to set up the jupyter notebook envirronment:
https://docs.jupyter.org/en/latest/install/notebook-classic.html
Follow: For new users, we highly recommend installing Anaconda. Anaconda conveniently installs Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science.
- Now we get the dependencies for semantic similarity
Once you have anaconda installed, open an anaconda terminal then type : pip install sentence-transformers
then cd into the directory where you downloaded the semantic_similarity.ipynb and type: jupyter notebook
you should see a browser with the file semantic_similarity.ipynb click on it. when it opens, go to the kernel menu and "restart and run all"